Difference between revisions of "Apertium-quality"
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== Introduction == |
== Introduction == |
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The Apertium quality control framework (apertium-quality) is a suite of tools and Python development framework to allow dictionary developers and users alike to manage the growth of their dictionaries through standardised coverage testing, regression testing and other tests, with meaningful and easy-to-use statistical output. |
The Apertium quality control framework (apertium-quality) is a suite of tools and Python development framework to allow dictionary developers and users alike to manage the growth of their dictionaries through standardised coverage testing, regression testing and other tests, with meaningful and easy-to-use statistical output. |
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* [[/Quickstart|Quickstart]] |
* [[/Quickstart|Quickstart]] |
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* [[/Application Documentation|Application Documentation]] |
* [[/Application Documentation|Application Documentation]] |
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* [[/Configuration|Configuration]] |
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** [[/Application Documentation#aq-morftest|aq-morftest]] |
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** [[/Configuration#Apertium_Quality_XML_Configuration_Format|Apertium Quality XML Configuration Format]] |
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** [[/Application Documentation#aq-covtest|aq-covtest]] |
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** [[/Configuration#Regression_Test_Format|Regression Test Format]] |
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** [[/Application Documentation#aq-regtest|aq-regtest]] |
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** [[/Configuration#Morph_Test_Format|Morph Test Format]] |
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** [[/Application Documentation#aq-dixtest|aq-dixtest]] |
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* [[/Developer Documentation|Developer Documentation]] |
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** [[/ |
** [[/Developer Documentation#|Corpus Format]] |
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** [[/ |
** [[/Developer Documentation#|Statistics Format]] |
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** [[/Application Documentation#aq-statgen|aq-statgen]] |
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** [[/Application Documentation#aq-autotest|aq-autotest]] |
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** [[/Application Documentation#aq-wikicrp|aq-wikicrp]] |
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Latest revision as of 11:03, 30 August 2011
Introduction[edit]
The Apertium quality control framework (apertium-quality) is a suite of tools and Python development framework to allow dictionary developers and users alike to manage the growth of their dictionaries through standardised coverage testing, regression testing and other tests, with meaningful and easy-to-use statistical output.
